Computer Science and Automation Department, Politecnico di Torino, Italy.
PLoS Comput Biol. 2020 Sep 30;16(9):e1008238. doi: 10.1371/journal.pcbi.1008238. eCollection 2020 Sep.
During these days of global emergency for the COVID-19 disease outbreak, there is an urgency to share reliable information able to help worldwide life scientists to get better insights and make sense of the large amount of data currently available. In this study we used the results presented in [1] to perform two different Systems Biology analyses on the HCoV-host interactome. In the first one, we reconstructed the interactome of the HCoV-host proteins, integrating it with highly reliable miRNA and drug interactions information. We then added the IL-6 gene, identified in recent publications [2] as heavily involved in the COVID-19 progression and, interestingly, we identified several interactions with the reconstructed interactome. In the second analysis, we performed a Gene Ontology and a Pathways enrichment analysis on the full set of the HCoV-host interactome proteins and on the ones belonging to a significantly dense cluster of interacting proteins identified in the first analysis. Results of the two analyses provide a compact but comprehensive glance on some of the current state-of-the-art regulations, GO, and pathways involved in the HCoV-host interactome, and that could support all scientists currently focusing on SARS-CoV-2 research.
在全球紧急应对 COVID-19 疫情之际，及时分享可靠信息对于帮助全球生命科学家深入了解并理解当前大量数据至关重要。在本研究中，我们使用了文献 [1] 中的结果，对 HCoV-宿主相互作用组进行了两种不同的系统生物学分析。在第一个分析中，我们重建了 HCoV-宿主蛋白的相互作用组，并整合了高度可靠的 miRNA 和药物相互作用信息。然后，我们添加了 IL-6 基因，该基因在最近的研究中被确定[2]与 COVID-19 的进展密切相关，有趣的是，我们发现与重建的相互作用组有几个相互作用。在第二个分析中，我们对完整的 HCoV-宿主相互作用组蛋白和在第一个分析中确定的显著密集相互作用蛋白簇中的蛋白进行了基因本体论和途径富集分析。两个分析的结果提供了一个紧凑但全面的视角，展示了 HCoV-宿主相互作用组中当前一些最先进的调控、GO 和途径，这可能为目前专注于 SARS-CoV-2 研究的所有科学家提供支持。
